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Reconstruction and Validation of a Genome-Scale Metabolic Model of Streptococcus oralis (iCJ415), a Human Commensal
Christian S Jensen1, Charles J Norsigian2, Xin Fang2
1The Regional Department of Clinical Microbiology, Region Zealand, Slagelse, Denmark.
Abstract:
The mitis group of streptococci (MGS) is a member of the healthy human microbiome in the oral cavity and upper respiratory tract. Troublingly, some MGS are able to escape this niche and cause infective endocarditis, a severe and devastating disease. Genome-scale models have been shown to be valuable in investigating metabolism of bacteria. Here we present the first genome-scale model, iCJ415, for Streptococcus oralis SK141. We validated the model using gene essentiality and amino acid auxotrophy data from closely related species. iCJ415 has 71-76% accuracy in predicting gene essentiality and 85% accuracy in predicting amino acid auxotrophy. Further, the phenotype of S. oralis was tested using the Biolog Phenotype microarrays, giving iCJ415 a 82% accuracy in predicting carbon sources. iCJ415 can be used to explore the metabolic differences within the MGS, and to explore the complicated metabolic interactions between different species in the human oral cavity.
Insights
We developed the first genome-scale model for Streptococcus oralis SK141, a bacterium found in the human microbiome. This model accurately predicts gene essentiality and metabolic functions, aiding research into oral bacteria and disease.
Area of Science:
- Microbiology
- Systems Biology
- Computational Biology
Background:
- The mitis group of streptococci (MGS) are commensal bacteria in the human microbiome.
- Certain MGS can cause severe infections like infective endocarditis.
- Genome-scale models are powerful tools for studying bacterial metabolism.
Purpose of the Study:
- To develop the first genome-scale metabolic model for *Streptococcus oralis* SK141.
- To validate the model's accuracy using experimental data.
- To provide a tool for exploring MGS metabolism and interspecies interactions.
Main Methods:
- Construction of a genome-scale model (iCJ415) for *Streptococcus oralis* SK141.
- Validation using gene essentiality and amino acid auxotrophy data from related species.
- Phenotypic testing with Biolog Phenotype microarrays for carbon source utilization.
Main Results:
- The iCJ415 model achieved 71-76% accuracy in predicting gene essentiality.
- The model demonstrated 85% accuracy in predicting amino acid auxotrophy.
- iCJ415 showed 82% accuracy in predicting carbon source utilization.
Conclusions:
- The iCJ415 model is a validated resource for *Streptococcus oralis* SK141.
- This model can facilitate research into MGS metabolism and pathogenesis.
- It offers insights into the complex metabolic interactions within the human oral microbiome.
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